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Estimating parameters of factor analysis model maximum likelihood method)) by using EM algorithm with application [PDF]
مجلة التربية والعلم, 2009 Expectation maximization algorithm (EM) is used to create estimator with the same qualities of maximum likelihood Estimator taking into consideration the existence of two types of data, Data viewing (observed data) and hidden data (missing data), in this
Thanoon alshakerchy
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SQUAREM: An R Package for Off-the-Shelf Acceleration of EM, MM and Other EM-Like Monotone Algorithms
Journal of Statistical Software, 2020 We discuss the R package SQUAREM for accelerating iterative algorithms which exhibit slow, monotone convergence. These include the well-known expectation-maximization algorithm, majorize-minimize (MM), and other EM-like algorithms such as expectation ...
Yu Du, Ravi Varadhan
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Entropy, 2020 There is a difficulty in finding an estimate of the standard error (SE) of the profile likelihood estimator in the joint model of longitudinal and survival data.
Yuichi Hirose, Ivy Liu
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Regression Analysis of Cure Model with Generalised Weibull Distribution
Statistica, 2021 Cure models are of special attention when all of the study subjects do not experience the event of interest even after long follow-up time. Many researchers have used exponential, gamma and Weibull distribution in the latency part of parametric cure ...
Parassery Parameswaran Rejani +1 more
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logbin: An R Package for Relative Risk Regression Using the Log-Binomial Model
Journal of Statistical Software, 2018 Relative risk regression using a log-link binomial generalized linear model (GLM) is an important tool for the analysis of binary outcomes. However, Fisher scoring, which is the standard method for fitting GLMs in statistical software, may have ...
Mark W. Donoghoe, Ian C. Marschner
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Joint lifetime modeling with matrix distributions
Dependence Modeling, 2023 Acyclic phase-type (PH) distributions have been a popular tool in survival analysis, thanks to their natural interpretation in terms of aging toward its inevitable absorption.
Albrecher Hansjörg +2 more
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Analogy-Based Approaches to Improve Software Project Effort Estimation Accuracy
Journal of Intelligent Systems, 2019 In the discipline of software development, effort estimation renders a pivotal role. For the successful development of the project, an unambiguous estimation is necessitated.
Resmi V, Vijayalakshmi S
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Determination of Load Equivalency Factors by Statistical Analysis of Weigh-In-Motion Data
The Baltic Journal of Road and Bridge Engineering, 2016 The load equivalency factors for pavement design currently in use by the Hungarian standard have been developed using Weigh-in-Motion data obtained during the first few years of operations after installing some 30 measuring sites in Hungary in 1996.
Zoltán Soós, Csaba Tóth, Dávid Bóka
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Variable selection in finite mixture of median regression models using skew-normal distribution
Statistical Theory and Related Fields, 2023 A regression model with skew-normal errors provides a useful extension for traditional normal regression models when the data involve asymmetric outcomes.
Xin Zeng, Yuanyuan Ju, Liucang Wu
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An EM algorithm for dynamic SPECT
IEEE Transactions on Medical Imaging, 1999 In this paper we present two variants of the EM algorithm for dynamic SPECT imaging. A version based on compartmental modeling which fits a sum of exponentials and a more general approach allowing for arbitrary decaying activities. The underlying probabilistic models are discussed and the incomplete and complete data spaces are shown to be physically ...
Heinz H. Bauschke +3 more
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